Nie, Jian-Yun

A Survey of Large Language Models

Zhao, W. X., Zhou, K., Li, J., Tang, T., Dong, Z., Hou, Y., Zhang, B., Min, Y., Zhang, J., Liu, P., et al. (2026) · Frontiers of Computer Science

Topic ModelingNatural Language Processing Techniques

Cited by 2,093

A Survey of Large Language Models

Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2,090

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Sun, Z., Deng, Z.-H., Nie, J.-Y., & Tang, J. (2019) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 1,414

C-Pack: Packed Resources For General Chinese Embeddings

Xiao, S., Liu, Z., Zhang, P., Muennighoff, N., Lian, D., & Nie, J.-Y. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingMultimodal Machine Learning Applications

Cited by 523

C-Pack: Packed Resources For General Chinese Embeddings

Xiao, S., Liu, Z., Zhang, P., Muennighoff, N., Lian, D., & Nie, J.-Y. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 514

HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Li, J., Cheng, X., Zhao, X., Nie, J.-Y., & Wen, J.-R. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMisinformation and Its Impacts

Cited by 343

HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Li, J., Cheng, X., Zhao, W. X., Nie, J.-Y., & Wen, J.-R. (2023) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 340

Combining classifiers for robust PICO element detection.

Boudin, F., Nie, J.-Y., Bartlett, J. C., Grad, R., Pluye, P., & Dawes, M. (2010) · BMC Medical Informatics and Decision Making

Biomedical Text Mining and OntologiesInformation Retrieval and Search Behavior

Cited by 131

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Li, J., Chen, J., Ren, R., Cheng, X., Zhao, X., Nie, J.-Y., & Wen, J.-R. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 70

Discriminating between empirical studies and nonempirical works using automated text classification

Langlois, A., Nie, J., Thomas, J., Hong, Q. N., & Pluye, P. (2018) · Research Synthesis Methods

Meta-analysis and systematic reviewsText and Document Classification Technologies

Cited by 26

Improving Medical Information Retrieval with PICO Element Detection.

Boudin, F., Shi, L., & Nie, J.-Y. (2010) · Lecture Notes in Computer Science

Information Retrieval and Search BehaviorBiomedical Text Mining and Ontologies

Cited by 21

Understanding User Experience in Large Language Model Interactions

Wang, J., Ma, W., Sun, P., Zhang, M., & Nie, J.-Y. (2024) · arXiv

AI in Service InteractionsUsability and User Interface Design

Cited by 18

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Li, J., Chen, J., Ren, R., Cheng, X., Zhao, W. X., Nie, J.-Y., & Wen, J.-R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents

Qian, L., Peng, X., Wang, Y., Zhang, V. J., He, H., Smith, H., Han, Y., He, Y., Li, H., Cao, Y., et al. (2025) · arXiv

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 4